Ai Product Builder Job at cozycozy (Paris)

AI Product Builder

About the Role: Abnormal Security is revolutionizing both cybersecurity and inte...

Location

United States

Salary:

148800.00 - 175000.00 USD / Year

Abnormal Security

Expiration Date

Until further notice

Requirements

Technical degree (Computer Science, Engineering, Mathematics, Physics, or similar)
Coursework or practical experience in AI/ML, product development, or entrepreneurship
Prior experience in product management or software engineering, ideally with exposure to AI-enabled products
Strong understanding of LLMs, AI agents, and contemporary AI tooling
Proficiency in at least one programming language (Python preferred) and comfort using AI-assisted development tools
Clear communicator capable of influencing senior and executive stakeholders

Job Responsibility

Own the AI transformation strategy for a specific GTM function, defining a roadmap that delivers measurable operational impact
Build and ship AI-powered solutions using LLMs, agent frameworks, and AI coding tools (e.g., Cursor, Claude Code)
Lead technical design and architecture decisions, creating reusable components that accelerate future AI development
Deliver production-grade automations that fundamentally reshape how sales, marketing, or customer success teams operate
Communicate progress, business impact, and demos directly to executive leadership

What we offer

bonus
restricted stock units (RSUs)

Fulltime

Staff AI Product Builder

You are a Staff level full-stack builder who is both AI-native and product-minde...

Location

United States

Salary:

154000.00 - 237000.00 USD / Year

Brightwheel

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering experience, with clear ownership of medium-to-large production systems from problem statement and design doc through launch and iteration
A proven track record of shipping AI-powered products to production, with concrete examples where LLMs meaningfully improved a metric like engagement, time saved, satisfaction, or retention across one or more product areas
Hands-on experience with large language models (LLMs) in real applications, including prompt and tool design, retrieval-style patterns (such as RAG), and evaluation and monitoring in production
Strong computer science fundamentals (e.g., data structures, algorithms, and systems design) and a generalist mindset, comfortable moving between backend, data, and UX to get the job done
Backend engineering skills in at least one modern web stack (such as Ruby on Rails, Python, Go, or Node), plus confidence with relational databases and larger datasets, from data modeling to performant queries and analytics
Experience building modern web front-ends, ideally with React or a similar component-based framework

Job Responsibility

Design and build cross-cutting AI services (such as retrieval, context, evaluation, and guardrails) that power multiple product areas like classroom workflows, billing, and family communication
As a hybrid PM+Eng+Data builder: own the end-to-end product loop for the problems you take on: talk to customers and internal teams, define the success metric, design the workflow and user experience, shape the data and evaluation plan, and ship iterative releases from prototype to reliable, scalable production
Create shared abstractions and tooling for AI – for example, common prompt and tool patterns, logging and monitoring, and reusable components – so other engineers can build on a consistent foundation
Shape our data and system architecture so AI can safely stitch together longitudinal signals across product, billing, support, and operations and recommend what should happen next, not just report what happened
Lead by example in AI-augmented engineering, using AI to multiply your own speed, mentoring L2/L3 engineers, and raising the bar for how we design, ship, and operate AI-powered features

What we offer

Comprehensive medical, dental, and vision coverage
Generous paid parental leave
Flexible PTO so you can recharge when you need it
Local retirement or savings plans (e.g., 401(k) in the U.S.)
Offers Equity

Fulltime

Technical Product Manager (Ai / Builder Role)

We are looking for an AI Product Builder in Madrid: someone for whom thinking, d...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor's degree in Engineering, Computer Science, or a related field
3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role)
Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos
Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical
Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team
Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus
Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth
Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions
Proficiency in English
able to communicate complex technical and product ideas clearly to any audience, in writing and in person

Job Responsibility

Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact
Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling
Understand our business, our customers, our market, and the data behind our consumer product
Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate
Build prototypes and production-ready experiences yourself when needed
Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance
Collaborate with stakeholders across Design, Growth, and the Tech team
Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls
Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship

What we offer

Flexible schedule
2 days per week at the office
40% discount on all Fever events and experiences
Health insurance from Day 1
English or Spanish Lessons
Wellhub Membership
Cobee (tax free allowance on restaurants and transport)
Possibility to receive in advance part of your salary by Payflow

Fulltime

Product Builder (Data&AI)

We are looking for an AI Product Builder in Madrid: someone for whom thinking, d...

Location

Spain

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor's degree in Engineering, Computer Science, or a related field
3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role)
Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos
Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical
Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team
Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus
Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth
Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions
Proficiency in English
able to communicate complex technical and product ideas clearly to any audience, in writing and in person

Job Responsibility

Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact
Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling as a native part of the product, not as a feature
Understand our business, our customers, our market, and the data behind our consumer product to delight users and achieve Fever's goals
Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate
Build prototypes and production-ready experiences yourself when needed, leveraging AI coding tools and modern development workflows to compress the idea-to-product cycle
Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance
Collaborate with stakeholders across Design, Growth, and the Tech team, working side by side with a team of Software Engineers
Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls under uncertainty
Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship

What we offer

Flexible schedule
2 days per week at the office
40% discount on all Fever events and experiences
Health insurance from Day 1
English or Spanish Lessons
Wellhub Membership
Cobee (tax free allowance on restaurants and transport)
Possibility to receive in advance part of your salary by Payflow

Fulltime

AI Native Product Builder

This is an exciting new role in our team that will act as the bridge between an ...

Location

United Kingdom

Salary:

45000.00 - 55000.00 GBP / Year

Vypr

Expiration Date

Until further notice

Requirements

Experience working in a technology start-up or scale-up environment
Experimented with AI tools and have a demonstrable interest in this area
Developed and refined prompts for AI systems to achieve the desired outputs
Hands-on experience working with and training commoditised ML models

Job Responsibility

Horizon scanning for new AI opportunities in the tech-enabled research space
Manage a pipeline of AI opportunities from early idea exploration through to integration
Identify off-the-shelf tools and models that can be used to solve customer or internal business problems
Run experiments, build prototypes and trial AI tooling
Train and monitor/optimise models to ensure they are as accurate as possible
Develop E2E processes and agentic workflows for building AI into existing Vypr processes
Work as part of a multi-disciplinary agile team to integrate AI solutions into Vypr Predict
Keep the wider company abreast of advances in AI and competitive landscape
Develop internal tools and skillsets that take advantage of new technology

What we offer

Hybrid working
Company paid medical cashplan
Enhanced annual leave
Access to a global benefits and reward platform
Access to Well-being support, including an Employee Assistance Programmes
Life Assurance
Day off on your birthday
Volunteering day
Enhanced parental leave

Fulltime

Group Product Manager, AI Builder

Sigma is the AI apps and analytics platform connected to the cloud data warehous...

Location

United States , San Francisco

Salary:

240000.00 - 260000.00 USD / Year

Sigma Computing

Expiration Date

Until further notice

Requirements

8+ years of product management experience in a B2B SaaS environment with a focus on BI, data analytics, data prep and transformation, or other relevant fields
Deep understanding of databases, data infrastructure, APIs, and security
Hands-on experience with data modeling or technical platforms is highly valued
Strong grasp of B2B GTM motions, with a proven track record of working closely and effectively with Sales, Customer Success, and Marketing teams
A passion for intuitive UX and experience partnering tightly with design teams
Ability to craft clear product definitions and drive them through actionable roadmaps
Skilled at making complex ideas simple
Experienced at rallying teams, managing stakeholders, and keeping momentum high in fast-moving environments
Action-oriented, resourceful, and adaptable

Job Responsibility

Shape the vision, strategy and roadmap for AI Apps
Work hand-in-hand with world-class design and engineering teams to move fast, build iteratively, and launch exceptional products
Own the vision for AI app builder that allows customers to build powerful applications and workflows through a natural language interface
Establish growth for AI apps with the goal to supercharge adoption and increase engagement across the entire customer base
Dive deep into customer needs and business goals, and turn those insights into product experiences
Collaborate across Customer Success, Sales, and Marketing to craft a seamless and impactful GTM strategy
Lead your team through rapid build-test-launch cycles, with a focus on quick iteration, smart learning, and continuous improvement

What we offer

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog friendly office

Fulltime

Senior Product Builder - Product Knowledge Activation

As a Senior Product Builder for our Product Knowledge Activation team, you'll wo...

Location

Salary:

Not provided

Mews

Expiration Date

Until further notice

Requirements

7+ years of experience building and shipping high-impact product experiences at scale
Experience as a senior engineer in a product-driven company (startup, founder, or scale-up experience preferred)
Strong product instincts: you care about the problem as much as the implementation, especially when it comes to user onboarding, enablement and learning-driven adoption
Experience building or integrating with learning platforms, content systems, LMS/LXP tools, or in-app guidance solutions is a strong plus
Experience working with system integrations, APIs and data synchronization, including diagnosing and fixing issues related to data mismatches, failed syncs or incomplete mappings
Strong understanding of user identity, provisioning and access management across multiple systems (e.g., mapping users across platforms, handling lifecycle states like active/inactive, ensuring consistency)
Comfortable defining scope, navigating ambiguity and making trade-offs in real time
Experience operating without dedicated Product Managers or Product Designers, or a strong proven ability to do so
Consistently lead by example: whether by coaching, elevating team standards, or proactively unblocking others
Take ownership well beyond your code, into customer outcomes, product adoption, learning effectiveness and system reliability

Job Responsibility

Take end-to-end ownership of product-training initiatives, from problem definition to prototype to production
Build rapidly, ship often and iterate based on real feedback from customers and learners
Drive the success of engaged users through embedded learning, onboarding and in-product education, identifying gaps and building solutions that improve activation, adoption and retention
Lead the design and implementation of systems that power: Product-led growth mechanics, Intelligent onboarding and automation workflows, Embedded learning experiences (e.g. Mews University, in-app guidance, contextual training and Smart Tips), Training content delivery, enrollment, progress tracking and completion data pipelines, Reliable user provisioning and lifecycle management across product and learning platforms (e.g. PMS, Intellum, Flexkeeping), Identity mapping and data integrity between systems (e.g. user IDs vs email, role/field mapping, access control), Multi-property operational tooling and business intelligence, AI-powered Smart Tips and co-pilot product features
Own and evolve integrations between Mews and external learning/content platforms, ensuring they are scalable, reliable and require minimal manual intervention
Identify and resolve systemic issues impacting customers at scale (e.g., failed enrollments, broken syncs, missing user data), and turn fixes into robust, long-term solutions
Work closely with Product Managers, Designers and Learning/Content teams to stay aligned on direction without being dependent on them for day-to-day execution
Operate as a self-contained unit: making decisions, running experiments and owning delivery
Set a high bar for technical and product quality. You won’t just ship features, you’ll build systems that are scalable, resilient and directly impact customer success
Mentor engineers who wish to become Product Builders and other Product Builders to drive adoption of modern development practices

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday (yes, really)
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly 'EDGE' time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not available)

Fulltime

Gtm Ai Builder

Revenue Operations at Mews runs the systems and processes behind a $300M+ ARR co...

Location

United States

Salary:

120000.00 - 180000.00 USD / Year

Mews

Expiration Date

Until further notice

Requirements

Seven or more years delivering production software with measurable business outcomes in a product-driven company
experience in a high-growth SaaS environment, startup, or scale-up strongly preferred
Demonstrated ability to operate at senior IC level without dedicated product managers or designers — independently defines scope, navigates ambiguity, makes architecture trade-offs, and owns delivery and outcomes end-to-end
Hands-on experience building against CRM and GTM platform APIs (Salesforce, HubSpot, or equivalent), including workflow automation, event-driven logic, and complex data integrations across multiple systems
Fluency with LLM APIs and production AI workflows: demonstrated experience shipping agents, enrichment pipelines, summarisation systems, or AI-assisted automation in a real operational context, not prototypes
Track record of leading complex, cross-functional automation initiatives with direct commercial impact
prior experience in or closely alongside a RevOps, Sales Ops, or GTM Analytics function is a meaningful advantage
Active practitioner of modern AI development tools including Claude, Lovable, Cursor, or equivalent
familiarity with agent frameworks, MCP integrations, and workflow automation tooling
Ability to think at systems level: understands how GTM processes connect across marketing, sales, deal desk, and post-sale, and designs tooling that serves the full motion rather than isolated workflows

Job Responsibility

Own end-to-end delivery of AI and automation initiatives across marketing automation, quote-to-cash, sales lifecycle, and support operations, from problem definition and scoping through production release and iteration, with no hand-holding from product management or design
Design and build the GTM Engineering Platform: AI-powered modules including Pipeline Command Center, Deal Passport, Territory Intelligence, Quote Builder, Manager Lens, Digest Center, and Conversion Intelligence replacing manual workflows across BDR, AE, and RevOps functions
Architect and ship AI-powered pipelines that replace manual GTM processes, including lead scoring and routing, deal enrichment, account radar (new hotel discovery), onboarding orchestration, forecasting signals, and Gong-driven coaching intelligence
Engage directly with RevOps leadership and GTM stakeholders to identify build priorities, translate operational pain into technical scope, and maintain alignment on delivery cadence and outcome metrics
Build rapidly and iterate based on real feedback: prototype in days, ship to production in weeks, establish a pattern of continuous improvement rather than polished one-time releases
Make pragmatic use of AI development tools, LLM APIs (Claude, OpenAI), and cloud-native integrations — solving problems at scale without reinventing infrastructure that already exists
Establish reusable patterns, services, and frameworks that accelerate self-serve capability across the GTM and RevOps teams, reducing future build time on adjacent problems
Set technical direction for GTM tooling, make and document architecture decisions, and champion AI-native development practices through code review, pairing, and direct coaching of engineers and operations staff
Define and communicate technical decisions in clear, non-technical terms to leadership and cross-functional stakeholders, maintaining alignment and influencing investment priorities

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday (yes, really)
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly "EDGE" time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available)

Fulltime

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